Histogram

Response Time Distribution

API latency histogram with percentiles.

Output
Response Time Distribution
Python
import matplotlib.pyplot as plt
import numpy as np

COLORS = {'bars': '#6366F1', 'p50': '#10B981', 'p95': '#F59E0B', 'p99': '#EF4444', 'background': '#FFFFFF', 'text': '#1E293B', 'text_muted': '#64748B', 'grid': '#F1F5F9'}

np.random.seed(42)
latency = np.clip(np.random.exponential(50, 1000), 5, 500)

fig, ax = plt.subplots(figsize=(10, 6), dpi=100)
ax.set_facecolor(COLORS['background'])
fig.patch.set_facecolor(COLORS['background'])

ax.hist(latency, bins=40, color=COLORS['bars'], edgecolor='white', linewidth=0.5, alpha=0.8)

p50, p95, p99 = np.percentile(latency, [50, 95, 99])
ax.axvline(p50, color=COLORS['p50'], linewidth=2, linestyle='--', label=f'p50: {p50:.0f}ms')
ax.axvline(p95, color=COLORS['p95'], linewidth=2, linestyle='--', label=f'p95: {p95:.0f}ms')
ax.axvline(p99, color=COLORS['p99'], linewidth=2, linestyle='--', label=f'p99: {p99:.0f}ms')

ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_color(COLORS['grid'])
ax.spines['bottom'].set_color(COLORS['grid'])
ax.yaxis.grid(True, color=COLORS['grid'], linewidth=1, zorder=0)
ax.set_axisbelow(True)
ax.tick_params(axis='both', colors=COLORS['text_muted'], labelsize=9, length=0, pad=8)
ax.set_xlabel('Response Time (ms)', fontsize=10, color=COLORS['text'], labelpad=10)
ax.set_ylabel('Count', fontsize=10, color=COLORS['text'], labelpad=10)
ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.12), ncol=3, frameon=False, fontsize=9, labelcolor=COLORS['text_muted'])

plt.tight_layout()
plt.show()
Library

Matplotlib

Category

Basic Charts

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